Analysis of N-gram model on Telugu document classification
Document classification is one of the recent areas of research evolved as a result of exponential growth in the quantum electronic form of documents. Various document representation methods based on linguistic knowledge are revisited in literature. Adaptability of N-gram models on various languages...
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| creator | Rani, B.P. Vardhan, B.V. Durga, A.K. Reddy, L.P. Babu, A.V. |
| description | Document classification is one of the recent areas of research evolved as a result of exponential growth in the quantum electronic form of documents. Various document representation methods based on linguistic knowledge are revisited in literature. Adaptability of N-gram models on various languages is the recent trend. In this paper an attempt is made to analyze character N-gram model on Telugu documents. Tokenization of syllables and the associated complexity of Telugu script is described. A combination of Bayes probabilistic classifier and character N-gram model is discussed in this paper. The performance of the proposed classifier is evaluated in terms of overall accuracy. |
| doi_str_mv | 10.1109/CEC.2008.4631231 |
| format | Conference Proceeding |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Evolutionary computation |
| title | Analysis of N-gram model on Telugu document classification |
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